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don't rely on default arguments

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This commit is contained in:
kadarakos 2023-02-02 10:36:36 +00:00
parent 5ccb154972
commit d13e494abd
1 changed files with 20 additions and 10 deletions
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30
spacy/pipeline/spancat.py
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@ -176,13 +176,16 @@ def make_spancat(
"""
return SpanCategorizer(
nlp.vocab,
suggester=suggester,
model=model,
spans_key=spans_key,
threshold=threshold,
max_positive=max_positive,
suggester=suggester,
name=name,
scorer=scorer,
single_label=False,
spans_key=spans_key,
negative_weight=None,
allow_overlap=None,
max_positive=max_positive,
threshold=threshold,
scorer=scorer
)
@ -236,14 +239,16 @@ def make_spancat_singlelabel(
"""
return SpanCategorizer(
nlp.vocab,
suggester=suggester,
model=model,
suggester=suggester,
name=name,
single_label=True,
spans_key=spans_key,
negative_weight=negative_weight,
allow_overlap=allow_overlap,
name=name,
scorer=scorer,
single_label=True,
max_positive=None,
threshold=None,
scorer=scorer
)
@ -488,7 +493,12 @@ class SpanCategorizer(TrainablePipe):
for i, doc in enumerate(docs):
indices_i = indices[i].dataXd
if self.single_label:
allow_overlap = cast(bool, self.cfg["allow_overlap"])
allow_overlap = self.cfg["allow_overlap"]
# Interpret None as False if allow_overlap is not provided
if allow_overlap is None:
allow_overlap = False
else:
allow_overlap = cast(bool, self.cfg["allow_overlap"])
doc.spans[self.key] = self._make_span_group_singlelabel(
doc,
indices_i,